Three community programs listed below offer learning and training opportunities for students and early career researchers interested in expanding their skills in computational sciences. The first program is also accepting applications for paid teaching assistant roles.
-
Computational Tools for Climate Science Course
- July 13-24th, virtual
- Application deadline: March 15th, 2026
- A Neuromatch sponsored online program to learn cutting-edge techniques from climate science experts, implement them in guided Python tutorials, and collaborate on team research projects using real-world and modeled data to explore the social and environmental effects of climate change.
- Fees: Dependent on student status and country of origin, see pricing tool
-
Cyberinfrastructure-Enabled Machine Learning (CIML) Summer Institute
- June 16th, virtual + June 23-25th, in-person in San Diego, CA
- Application deadline: April 8th, 2026
- The San Diego Supercomputer Center (SDSC) will host the. The program is focused on teaching researchers and students the best practices for effectively running artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications on advanced cyberinfrastructure (CI) and high-performance computing (HPC) systems.
- Fees: $250 for academics and students, $500 for industry professionals
-
2026 Deep Learning for Science (DL4SCI) Summer School
- July 20-24th, in person in Berkeley, CA
- Application deadline: April 10th, 2026
- Hosted by Computing Sciences at Lawrence Berkeley National Lab (LBNL), the is a five-day intensive program bringing together researchers and engineers to explore the latest advances in deep learning and generative AI (GenAI), with a special emphasis this year on foundation models, reasoning, and agentic AI for scientific discovery.
- Fees: Not to exceed $250 and will be waived for selected applicants currently enrolled in undergraduate, graduate, or PhD programs
